Data Engineer Senior
Tasks
- Build data lakes
- Build data processing systems
- Build data warehouse structures
- Design data pipelines
- Develop ETL/ELT processes
- Ensure data quality integrity availability
- Improve code quality and reliability
- Ingest batch data
- Ingest real-time data
- Maintain data models
- Maintain data pipelines
- Monitor production data workflows
- Optimize pipeline performance
- Participate in agile ceremonies
- Process data from APIs
- Process data from third party platforms
- Troubleshoot data pipeline issues
- Write data processing code
Perks/Benefits
Skills/Tech-stack
AWS | AWS Lambda | Agile | Amazon Athena | Amazon DynamoDB | Amazon EMR | Amazon MWAA | Amazon Redshift | Amazon S3 | Apache Airflow | Application Programming | Application Programming Interfaces | CI/CD | Data Lake | Data Modeling | Data Quality | Data Warehouse | ELT | ETL | Infrastructure as Code | Programming interfaces | PySpark | Python | SQL | Streaming | Talend | Terraform | Test-Driven | Test-Driven Development | “as-code”
Education
N/A
Roles
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